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SahandNZ/cryptonews-articles-with-price-momentum-labels

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Hugging Face2023-06-07 更新2024-03-04 收录
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https://hf-mirror.com/datasets/SahandNZ/cryptonews-articles-with-price-momentum-labels
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资源简介:
--- license: openrail task_categories: - text-classification language: - en tags: - finance pretty_name: Cryptonews.com articles with price momentum labels size_categories: - 10K<n<100K --- # Dataset Card for Cryptonews articles with price momentum labels ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) ## Dataset Description - **Homepage:** - **Repository:** https://github.com/SahandNZ/IUST-NLP-project-spring-2023 - **Paper:** - **Leaderboard:** - **Point of Contact:** ### Dataset Summary The dataset was gathered from two prominent sources in the cryptocurrency industry: Cryptonews.com and Binance.com. The aim of the dataset was to evaluate the impact of news on crypto price movements. As we know, news events such as regulatory changes, technological advancements, and major partnerships can have a significant impact on the price of cryptocurrencies. By analyzing the data collected from these sources, this dataset aimed to provide insights into the relationship between news events and crypto market trends. ### Supported Tasks and Leaderboards - **Text Classification** - **Sentiment Analysis** ### Languages The language data in this dataset is in English (BCP-47 en) ## Dataset Structure ### Data Instances Todo ### Data Fields Todo ### Data Splits Todo ### Source Data - **Textual:** https://Cryptonews.com - **Numerical:** https://Binance.com
提供机构:
SahandNZ
原始信息汇总

数据集概述

数据集基本信息

  • 许可证: openrail
  • 任务类别:
    • 文本分类
  • 语言:
    • 英语
  • 标签:
    • 金融
  • 美观名称: Cryptonews.com articles with price momentum labels
  • 数据集大小: 10K<n<100K

数据集描述

数据集总结

  • 来源: Cryptonews.com 和 Binance.com
  • 目的: 评估新闻对加密货币价格变动的影响
  • 内容: 分析新闻事件(如监管变化、技术进步、重大合作)与加密市场趋势之间的关系

支持的任务和排行榜

  • 任务:
    • 文本分类
    • 情感分析

语言

  • 语言: 英语 (BCP-47 en)

数据集结构

数据实例

  • 描述: 待定

数据字段

  • 描述: 待定

数据分割

  • 描述: 待定

源数据

  • 文本数据来源: Cryptonews.com
  • 数值数据来源: Binance.com
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